A P300-Based Brain-Computer Interface for Chinese text Input

DOI

10.2991/iwmecs-15.2015.167How to use a DOI?

Keywords

Brain-Computer interface (BCI), Chinese speller, P300, Electroencephalography

Abstract

In this study, a P300 visual spelling system was presented using a novel method to input Chinese sinograms developed on a Hanyu Pinyin-based method. This method transcribes a Chinese pinyin into an initial consonant and vowel component according to its mandarin pronunciation. In this paradigm, each sinogram was input by selecting the initial consonant followed by the vowel components, and then by selection of the sinogram itself. Five healthy participants participated in the study and achieved an average offline accuracy of 90.2% and an average online input speed of one sinogram per 69 seconds. The experiment results make P300-BCIs accessible to individuals whose language has a logographic writing system.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Yu
AU  - Zongtan Zhou
AU  - Jingsheng Tang
AU  - Peng Du
AU  - Yadong Liu
AU  - Dewen Hu
PY  - 2015/10
DA  - 2015/10
TI  - A P300-Based Brain-Computer Interface for Chinese text Input
BT  - Proceedings of the 2015 2nd International Workshop on Materials Engineering and Computer Sciences
PB  - Atlantis Press
SP  - 850
EP  - 853
SN  - 2352-538X
UR  - https://doi.org/10.2991/iwmecs-15.2015.167
DO  - 10.2991/iwmecs-15.2015.167
ID  - Yu2015/10
ER  -